Hybrid ontology-learning materials engineering system for pharmaceutical products: Multi-label entity recognition and concept detection. - Miguel Francisco M. Remolona; Matthew F. Conway; Sriram Balasubramanian; Linxi Fan; Ziyan Feng; Tianhao Gu; Hyungtae Kim; Prasad M. Nirantar; Sarah Panda; Nithin R. Ranabothu; Neha Rastogi; Venkat Venkatasubramanian (Comput. Chem. Eng., 2017)

Unsupervised cycle optimization learning for single-view depth and camera pose with Kalman filter. - Tianhao Gu; Zhe Wang 002; Ziqiu Chi; Yiwen Zhu; Wenli Du (Eng. Appl. Artif. Intell., 2021)

OnionNet: Single-View Depth Prediction and Camera Pose Estimation for Unlabeled Video. - Tianhao Gu; Zhe Wang 002; Dongdong Li; Hai Yang 002; Wenli Du; Yangming Zhou (IEEE Trans. Cogn. Dev. Syst., 2021)

FLDNet: Frame-Level Distilling Neural Network for EEG Emotion Recognition. - Zhe Wang 002; Tianhao Gu; Yiwen Zhu; Dongdong Li; Hai Yang 002; Wenli Du (IEEE J. Biomed. Health Informatics, 2021)

Multilabel Convolutional Network With Feature Denoising and Details Supplement. - Tianhao Gu; Zhe Wang 002; Zhongli Fang; Zonghai Zhu; Hai Yang 002; Dongdong Li; Wenli Du (IEEE Trans. Neural Networks Learn. Syst., 2023)

Frame-Level Teacher-Student Learning With Data Privacy for EEG Emotion Recognition. - Tianhao Gu; Zhe Wang 002; Xinlei Xu; Dongdong Li; Hai Yang 002; Wenli Du (IEEE Trans. Neural Networks Learn. Syst., 2023)

LiteGfm: A Lightweight Self-supervised Monocular Depth Estimation Framework for Artifacts Reduction via Guided Image Filtering. - Zhilin He 002; Yawei Zhang; Jingchang Mu; Xiaoyue Gu; Tianhao Gu (ACM Multimedia, 2024)

Partial multi-label learning via K-means graph transformer. - Zhiyong Li; Linqing Huang; Tianhao Gu; Qingkai Bu; Fuyu Qi; Jinfu Fan (Knowl. Based Syst., 2025)

Vision Language Modeling of Content, Distortion and Appearance for Image Quality Assessment. - Fei Zhou 001; Tianhao Gu; Zhicong Huang; Guoping Qiu (IEEE J. Sel. Top. Signal Process., 2025)